A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation. - Zhuotun Zhu; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CoRR, 2017)

A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation. - Zhuotun Zhu; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (3DV, 2018)

Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net. - Yingda Xia; Lingxi Xie; Fengze Liu; Zhuotun Zhu; Elliot K. Fishman; Alan L. Yuille (MICCAI (4), 2018)

Bridging the Gap Between 2D and 3D Organ Segmentation. - Yingda Xia; Lingxi Xie; Fengze Liu; Zhuotun Zhu; Elliot K. Fishman; Alan L. Yuille (CoRR, 2018)

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples. - Yingwei Li 002; Zhuotun Zhu; Yuyin Zhou; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning. - Chen Wei 005; Lingxi Xie; Xutong Ren; Yingda Xia; Chi Su; Jiaying Liu 001; Qi Tian 001; Alan L. Yuille (CVPR, 2019)

An Alarm System for Segmentation Algorithm Based on Shape Model. - Fengze Liu; Yingda Xia; Dong Yang 005; Alan L. Yuille; Daguang Xu (ICCV, 2019)

End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. - Jinzheng Cai; Yingda Xia; Dong Yang 005; Daguang Xu; Lin Yang 002; Holger Roth (MLMI@MICCAI, 2019)

Joint Shape Representation and Classification for Detecting PDAC. - Fengze Liu; Lingxi Xie; Yingda Xia; Elliot K. Fishman; Alan L. Yuille (MLMI@MICCAI, 2019)

Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma. - Zhuotun Zhu; Yingda Xia; Lingxi Xie; Elliot K. Fishman; Alan L. Yuille (MICCAI (6), 2019)

Thickened 2D Networks for 3D Medical Image Segmentation. - Qihang Yu; Yingda Xia; Lingxi Xie; Elliot K. Fishman; Alan L. Yuille (CoRR, 2019)

Synthesize Then Compare: Detecting Failures and Anomalies for Semantic Segmentation. - Yingda Xia; Yi Zhang 099; Fengze Liu; Wei Shen 002; Alan L. Yuille (ECCV (1), 2020)

Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. - Yingda Xia; Qihang Yu; Wei Shen 002; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (MICCAI (3), 2020)

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. - Yingda Xia; Fengze Liu; Dong Yang 005; Jinzheng Cai; Lequan Yu; Zhuotun Zhu; Daguang Xu; Alan L. Yuille; Holger Roth (WACV, 2020)

Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. - Yingda Xia; Qihang Yu; Wei Shen 002; Yuyin Zhou; Alan L. Yuille (CoRR, 2020)

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples. - Yingwei Li 002; Zhuotun Zhu; Yuyin Zhou; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CoRR, 2020)

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. - Yingda Xia; Dong Yang 005; Zhiding Yu; Fengze Liu; Jinzheng Cai; Lequan Yu; Zhuotun Zhu; Daguang Xu; Alan L. Yuille; Holger Roth (Medical Image Anal., 2020)

Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers. - Yingda Xia; Jiawen Yao; Le Lu 001; Lingyun Huang; Guotong Xie; Jing Xiao 006; Alan L. Yuille; Kai Cao; Ling Zhang 002 (MICCAI (5), 2021)

Glance-and-Gaze Vision Transformer. - Qihang Yu; Yingda Xia; Yutong Bai; Yongyi Lu; Alan L. Yuille; Wei Shen 002 (NeurIPS, 2021)

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. - Yingda Xia; Dong Yang 005; Wenqi Li 001; Andriy Myronenko; Daguang Xu; Hirofumi Obinata; Hitoshi Mori; Peng An; Stephanie A. Harmon; Evrim Turkbey; Baris Turkbey; Bradford J. Wood; et al. (CoRR, 2021)

The Medical Segmentation Decathlon. - Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; Bram van Ginneken; Michel Bilello; et al. (CoRR, 2021)

Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. - Liangqiong Qu; Yuyin Zhou; Paul Pu Liang; Yingda Xia; Feifei Wang; Ehsan Adeli 001; Li Fei-Fei 001; Daniel L. Rubin (CVPR, 2022)

DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform. - Lisha Yao; Yingda Xia; Haochen Zhang; Jiawen Yao; Dakai Jin; Bingjiang Qiu; Yuan Zhang; Suyun Li; Yanting Liang; Xian-Sheng Hua 001; Le Lu 001; Xin Chen 058; et al. (MICCAI (3), 2022)

Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging. - Jiawen Yao; Xianghua Ye; Yingda Xia; Jian Zhou; Yu Shi; Ke Yan 006; Fang Wang; Lili Lin; Haogang Yu; Xian-Sheng Hua 001; Le Lu 001; Dakai Jin; et al. (MICCAI (3), 2022)

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. - Mingze Yuan; Yingda Xia; Hexin Dong; Zifan Chen; Jiawen Yao; Mingyan Qiu; Ke Yan 006; Xiaoli Yin; Yu Shi; Xin Chen 058; Zaiyi Liu; Bin Dong 001; et al. (CVPR, 2023)

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (ICCV, 2023)

Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. - Bo Zhou 009; Yingda Xia; Jiawen Yao; Le Lu 001; Jingren Zhou 001; Chi Liu 001; James S. Duncan; Ling Zhang 002 (IPMI, 2023)

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. - Hexin Dong; Jiawen Yao; Yuxing Tang; Mingze Yuan; Yingda Xia; Jian Zhou; Hong Lu; Jingren Zhou 001; Bin Dong 001; Le Lu 001; Zaiyi Liu; Li Zhang 047; et al. (MICCAI (5), 2023)

Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network. - Ke Yan 006; Xiaoli Yin; Yingda Xia; Fakai Wang; Shu Wang; Yuan Gao 017; Jiawen Yao; Chunli Li; Xiaoyu Bai; Jingren Zhou 001; Ling Zhang 002; Le Lu 001; et al. (MICCAI (5), 2023)

Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. - Mingze Yuan; Yingda Xia; Xin Chen 058; Jiawen Yao; Junli Wang; Mingyan Qiu; Hexin Dong; Jingren Zhou 001; Bin Dong 001; Le Lu 001; Li Zhang 047; Zaiyi Liu; et al. (MICCAI (5), 2023)

Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization. - Tony C. W. Mok; Zi Li; Yingda Xia; Jiawen Yao; Ling Zhang 002; Jingren Zhou 001; Le Lu 001 (MLMI@MICCAI (1), 2023)

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (CoRR, 2023)

Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models. - Weiwei Cao; Jianpeng Zhang; Yingda Xia; Tony C. W. Mok; Zi Li; Xianghua Ye; Le Lu 001; Jian Zheng; Yuxing Tang; Ling Zhang 002 (CVPR, 2024)

Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation. - Vince Zhu; Zhanghexuan Ji; Dazhou Guo; Puyang Wang; Yingda Xia; Le Lu 001; Xianghua Ye; Wei Zhu 015; Dakai Jin (MICCAI (8), 2024)

CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios. - Jingyang Lin; Yingda Xia; Jianpeng Zhang; Ke Yan 006; Le Lu 001; Jiebo Luo 001; Ling Zhang 002 (CoRR, 2024)

Boosting Medical Image-based Cancer Detection via Text-guided Supervision from Reports. - Guangyu Guo; Jiawen Yao; Yingda Xia; Tony C. W. Mok; Zhilin Zheng; Junwei Han 001; Le Lu 001; Dingwen Zhang; Jian Zhou; Ling Zhang 002 (CoRR, 2024)

FS-MedSAM2: Exploring the Potential of SAM2 for Few-Shot Medical Image Segmentation without Fine-tuning. - Yunhao Bai; Qinji Yu; Boxiang Yun; Dakai Jin; Yingda Xia; Yan Wang (CoRR, 2024)

A Colorectal Coordinate-Driven Method for Colorectum and Colorectal Cancer Segmentation in Conventional CT Scans. - Lisha Yao; Yingda Xia; Zhihong Chen; Suyun Li; Jiawen Yao; Dakai Jin; Yanting Liang; Jiatai Lin; Bingchao Zhao; Chu Han; Le Lu 001; Ling Zhang 002; et al. (IEEE Trans. Neural Networks Learn. Syst., 2025)